Python

In this tutorial you will learn:

• Python Dictionary
• Adding elements to a Dictionary
• Accessing elements of a Dictionary
• Removing elements from a Dictionary

Python Dictionary

Dictionary is a resource that that lists words and their meaning. So Dictionary data type in Python follow a similar concept, they define a key and a value. They are declared using curly brackets. Dictionaries in Python are mutable it means the values in a dictionary can be changed and they are also indexed but unordered.

In this tutorial you will learn:

• Python Tuples
• Python Sets
• Difference between Lists, Tuples and Sets
• Accessing elements in Tuples and Sets
• Adding elements in Tuples and Sets
• Updating elements in Tuples and Sets
• Removing elements from Tuples and Sets

Python Tuples

In this tutorial you will learn:

• Boolean in Python
• Boolean expressions
• Importance of Boolean in programming.

Boolean in Python

Boolean is perhaps one of the most simple yet the most powerful data type not only in Python but in other programming languages as well. Boolean data type has either a value of True or a value of False. Even the keywords used in Python to define Booleans are True and False.

In this tutorial you will learn:

• Numbers in Python
• Integers
• Floating point numbers
• Complex numbers

Numbers in Python

In this tutorial you will learn:

• Strings in Python
• Immutable and Mutable in Python
• Joining two Strings
• String Slicing
• Finding length of a String

Strings in Python

In the previous tutorial we learned what variables are and how Python deals with variables. In this tutorial we will start by learning the details and usage of String type variable in Python.

Python Installation and Setup

In this tutorial you will learn

• Installing Python on your system
• Setting up IDE for Python
• Basics of Python

1. Installing Python on Your System

Checking Version

For Mac / Linux:
First of all open CMD / Terminal ( on Mac/Linux) and type

Introduction to Python

A powerful interpreted programming language that can do simple and complex tasks. Due to its simplicity and ability to perform mathematical calculations at a high pace. It’s being used in a number of industries from Computer Vision, Data Science, Mathematics and Machine Learning. As python is an interpreted language so it’s easy to debug and hence helps developers in doing rapid application development very quickly.